Leading organizations are connecting process engineering simulations to plant data, creating a “digital twin” model that can calibrate autonomously and continuously.

In the first installment of our blog series on artificial intelligence (AI), we present a common understanding and definition of the technology, as well as a way to analyze the business value for every AI initiative.

Advances in technology are driving new levels of value creation — but your people still have to have the right skills in order to get the most out of digital solutions.

As process industry companies turn to technology to help mitigate risk, this strategy could pay double dividends: reduced insurance premiums and improved margins.

Dr. Carole Nakhle, CEO of Crystol Energy, takes a look at how the industry is leveraging exciting new advances to become cleaner, greener and more resilient.

Automated data science systems aimed at the broad engineering base of qualified users create an opportunity to prepare data and develop models faster.

In V11 of aspenONE, localized user interfaces in many popular languages have been included as part of general availability.

Leverage new technology to develop optimal heat exchanger cleaning schedules that save money and maximize throughput.

A chemicals industry expert explains how companies can adapt to succeed in the circular economy.

Today’s technology enables you to optimize the speed and quality of decision-making. Find out how you can effectively employ a digital twin to understand risk and profit and make the best decisions.